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DTSTART;TZID=Europe/London:20220713T160000
DTEND;TZID=Europe/London:20220713T163000
DTSTAMP:20260419T020417
CREATED:20220304T185953Z
LAST-MODIFIED:20220628T122226Z
UID:10000369-1657728000-1657729800@prstats.preprodw.com
SUMMARY:FREE SEMINAR - Remote Sensing With Satellite Multi-Spectral Sensors\, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)
DESCRIPTION:FREE SEMINAR – Remote Sensing With Satellite Multi-Spectral Sensors\, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Event Date \nWednesday\, July 20th\, 2022\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n					\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nFree seminar \n\n\nThis is a free ~30 minute seminar including a Q and A session at the end for our up-coming courses\, Remote Sensing with satellite multi-spectral sensors (RSMS01)\, Remote Sensing with drone RGB and Near Infrared cameras (RSWD01) and Remote Sensing with aircraft and drone LiDAR sensors (RSLD01). \n\n\nTime \n16:00 – 16:30 GMT \n\n\nSpeaker \n\n\nCourse Instructor Nelson Pires \nAbout these courses \n\nSatellite Remote Sensing has become a common tool to investigate the different fields of Earth and environmental sciences. The progress of the performance capabilities of the optoelectronic and radar devices mounted on-board remote sensing platforms have further improved the capability of instruments to acquire information about the Earth and its resources for global\, regional and local assessments. Disciplines such as agriculture\, hydrology\, and ecosystem studies have all developed a strong Remote Sensing component\, facilitating our understanding of the environment and its processes over a broad range of spatial and temporal scales.This 4-day course aims to provide participants with an integrated end-to-end perspective going from measurement techniques to end-user applications\, covering issues related to Remote Sensing\, Earth System Modelling and Data Assimilation as well as hands-on computing exercises on the processing of Earth Observation data. \n\n\n\nUnmanned Airborne Vehicles (UAVs) equipped with consumer-grade imaging/ranging and direct geo-referencing systems have been proven as a potential Remote Sensing platform that could satisfy the needs of a wide range of civilian applications. The continuous developments in direct georeferencing and Remote Sensing (i.e.\, passive and active imaging sensors in the visible and infrared range – RGB cameras and LiDAR) is providing the professional geospatial community with ever-growing opportunities to provide accurate 3D information used in environmental research to collect information about the Earth\, such as vegetation and tree species. This 4-day course aims to provide participants with an integrated end-to-end perspective going from measurement techniques to end-user applications\, covering issues related to LiDAR sensors coupled on aircraft and UAVs\, computing exercises on the processing of 3D point clouds to produce geospatial products. \n\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nIf you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n\n			\n			\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Course Instructor\n \n\n\n\n\n\nDr. Nelson Pires\nWorks at –\nTeaches –
URL:https://prstats.preprodw.com/course/free-seminar-on-remote-sensing/
LOCATION:Delivered remotely (Portugal)\, Portugal
CATEGORIES:Free Seminars,Home Seminars
ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/03/RSMS01-1.png
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DTSTART;TZID=Europe/London:20220517T150000
DTEND;TZID=Europe/London:20220517T153000
DTSTAMP:20260419T020417
CREATED:20220221T231747Z
LAST-MODIFIED:20220517T124351Z
UID:10000333-1652799600-1652801400@prstats.preprodw.com
SUMMARY:FREE SEMINAR - Bayesian GLM's For Ecologists (BGFE01S)
DESCRIPTION:FREE SEMINAR – Remote Sensing With Satellite Multi-Spectral Sensors\, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Registration is now closed\, if you would still like to register please send an email to oliverhooker@prstatistics.com and we will try and add you before the seminar start time.\nEvent Date \n​\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n					\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nFree seminar \n\n\nThis is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Bayesian GLM’s for Ecologists”. \n\n\nTime \n\n\n15:00-15:30 GMT+1 \n\n\nSpeaker \n\n\nCourse Instructor Dr. Carl Smith \n\n\nAbout this course \nThis short course is aimed at introducing researchers to analysing ecological and environmental data with Bayesian GLMs using R. Theory underpinning Bayesian inference will be discussed\, as well as analytical methods and statistical interpretation. Sessions will be a blend of interactive demonstrations and lectures\, where learners will have the opportunity to ask questions throughout. Prior to the course\, attendees will receive R script and datasets and a list of R packages to install. \nBy the end of the course\, participants should be able to: \n\nRecognise the distinction between frequentist and Bayesian approaches to model fitting\nApply data exploration techniques and avoid the common pitfalls in tackling a data analysis\nApply a 9-step protocol to fitting Bayesian GLMs\nUnderstand and apply alternative approaches to model selection\nApply statistical modelling methods to ecological data using Bayesian GLMs\n\n\nONLINE COURSE – Bayesian GLM’s For Ecologists (BGFE01) This course will be delivered live \n \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Dr. Carl Smith\n					Senior Lecturer\, Psychology Department\, Nottingham Trent University \n					Teaches:\n\nStatistics for biodiversity and conservation (SFBC01)\nBayesian GLMs for Ecologists (BGFE01)\n\nMark Andrews is a Senior Lecturer in the Psychology Department at Nottingham Trent University in Nottingham\, England. Mark is a graduate of the National University of Ireland and obtained an MA and PhD from Cornell University in New York. Mark’s research focuses on developing and testing Bayesian models of human cognition\, with particular focus on human language processing and human memory. Mark’s research also focuses on general Bayesian data analysis\, particularly as applied to data from the social and behavioural sciences. Since 2015\, he and his colleague Professor Thom Baguley have been funded by the UK’s ESRC funding body to provide intensive workshops on Bayesian data analysis for researchers in the social sciences. \n 
URL:https://prstats.preprodw.com/course/bayesian-glms-for-ecologists-bgfe01s/
LOCATION:Delivered remotely (United Kingdom)\, Western European Time\, United Kingdom
CATEGORIES:All Live Courses,Free Seminars,Home Seminars
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DTSTART;TZID=Europe/London:20220406T133000
DTEND;TZID=Europe/London:20220406T143000
DTSTAMP:20260419T020418
CREATED:20220221T223934Z
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SUMMARY:FREE SEMINAR - Introduction To Multivariate Analysis In Ecology And Evolutionary Biology using R (IMAE01S) This course will be delivered live
DESCRIPTION:FREE SEMINAR – Remote Sensing With Satellite Multi-Spectral Sensors\, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Event Date \nOnline registration has now closed\, please email oliverhooker@prstatistics.com to be added to the seminar or to receive a link to the recording\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n					\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nFree seminar \n\n\nThis is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Introduction to Multivariate Analysis in Ecology and Evolutionary Biology using R” \n\n\nTime \n\n\n13:30-14:00 Eastern European Standard Time \n\n\nSpeaker \n\n\nCourse Instructor Dr. Antoine Becker-Scarpitta \n\n\nAbout this course \nThis community analytics course is designed for students who have recently started their projects or researchers who are starting using the R ecosystem. During this three-day course\, we will cover the basic concepts of multivariate analysis and their implementation in R. This course is a complement to the PR Statistic offering allowing also beginners and non-programmers to discover the statistical tools needed to analyze an ecological dataset in research\, natural resource management or conservation context. This course is not geared toward any particular taxonomic group or ecological system. \nWe will cover diversity indices\, distance measures and multivariate distance-based methods\, clustering\, classification\, and ordination techniques. We will focus on the concept of the methods and their implementation on R using different R packages. We will use real-world examples to implement analyses\, such as describing patterns along gradients of environmental or anthropogenic disturbances\, quantifying the effects of continuous and discrete predictors\, data mining. The course will consist of lectures\, work on R code scripts\, and exercises for participants. \n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.\n			\n				\n				\n				\n				\n				If you are unsure about course suitability\, please get in touch by email to find out more \ninfo@clovertraining.co.uk
URL:https://prstats.preprodw.com/course/introduction-to-multivariate-analysis-in-ecology-and-evolutionary-biology-using-r-imae01s/
LOCATION:Delivered remotely (Finland)\, Western European Time\, United Kingdom
CATEGORIES:All Live Courses,Free Seminars,Home Seminars
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DTSTART;TZID=Europe/London:20220323T180000
DTEND;TZID=Europe/London:20220323T183000
DTSTAMP:20260419T020418
CREATED:20220221T205439Z
LAST-MODIFIED:20220322T164050Z
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SUMMARY:FREE SEMINAR – Advances in Spatial Analysis of Multivariate Ecological Data: Theory and Practice (MVSP05S)
DESCRIPTION:FREE SEMINAR – Remote Sensing With Satellite Multi-Spectral Sensors\, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Registration is now closed\, if you would still like to register please send an email to oliverhooker@prstatistics.com and we will try and add you before the seminar start time.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n					\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Free seminar \nThis is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Advances In Spatial Analysis Of Multivariate Ecological Data: Theory And Practice”. \nTime \n18:00 GMT \nSpeaker \nCourse Instructor Prof. Pierre Legendre \nAbout this course \nThe course will describe recent methods (concepts and R tools) that can be used to analyse spatial patterns in community ecology. The umbrella concept of the course is beta diversity\, which is the spatial variation of communities. These methods are applicable to all types of communities (bacteria\, plants\, animals) sampled along transects\, regular grids or irregularly distributed sites. The new methods\, collectively referred to as spatial eigen-function analysis\, are grounded into techniques commonly used by community ecologists\, which will be described first: simple ordination (PCA\, CA\, PCoA)\, multivariate regression and canonical analysis\, permutation tests. The choice of dissimilarities that are appropriate for community composition data will also be discussed. The focal question is to determine how much of the community variation (beta diversity) is due to environmental sorting and to community-based processes\, including neutral processes. Recently developed methods to partition beta diversity in different ways will be presented. Extensions will be made to temporal and space-time data. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Please email any course enquiries to oliverhooker@prstatistics.com
URL:https://prstats.preprodw.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05s/
LOCATION:Delivered remotely (Canada)
CATEGORIES:All Live Courses,Free Seminars,Home Seminars
ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/02/MVSP04R.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20220323T170000
DTEND;TZID=Europe/London:20220323T173000
DTSTAMP:20260419T020418
CREATED:20220221T230711Z
LAST-MODIFIED:20220512T151922Z
UID:10000329-1648054800-1648056600@prstats.preprodw.com
SUMMARY:FREE SEMINAR - Statistics For Biodiversity And Conservation  (SFBC01S)
DESCRIPTION:FREE SEMINAR – Remote Sensing With Satellite Multi-Spectral Sensors\, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Event Date \nRegistration is now closed\, if you would still like to register please send an email to oliverhooker@prstatistics.com and we will try and add you before the seminar start time.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n					\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n				\n					\n						\n						\n							\n							\n						\n					\n				\n				\n				\n				\n			\n			\n				\n				\n			\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nFree seminar \n\n\nThis is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Statistics for Biodiversity and Conservation”. \n\n\nTime \n\n\nTBC \n\n\nSpeaker \n\n\nCourse Instructor Dr. Carl Smith and Dr. Mark Warren \n\n\nCourse description \nThe way statistics are used in biology\, and especially ecology\, is changing\, with a shift from statistical tests of significance to fitting statistical models to data to explain causation and draw inferences to wider situations. And a new enlightened Bayesian world of statistical inference is also emerging. \nAn understanding of statistical modelling is no longer a luxury\, and it is an expectation that postgraduates and post-doctoral researchers\, as well as ecological practitioners possess an understanding of this approach. This change has been unleashed by an explosion in computing power and the advent of powerful and flexible software\, such as R\, that permits users to wrangle\, analyse and visualise their data in novel ways. \nThis course is aimed at introducing researchers to analysing ecological and environmental data with GLMs using R. Study design will be discussed\, as well as data analysis and statistical interpretation. Sessions will be a blend of interactive demonstrations and lectures\, where learners will have the opportunity to ask questions throughout. Prior to the course\, you will receive R script and datasets and a list of R packages to install. \nBy the end of the course\, participants should be able to: \n\nApply data exploration techniques and avoid the common pitfalls in tackling a data analysis\nRecognise common problems associated with analysis of ecological data and how to address them\nUnderstand and apply alternative approaches to model selection\nApply statistical modelling methods to ecological data using GLMs\nRecognise the distinction between frequentist and Bayesian approaches to model fitting\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Dr. Carl Smith\n					Senior Lecturer\, Psychology Department\, Nottingham Trent University \n					Teaches:\n\nStatistics for biodiversity and conservation (SFBC01)\nBayesian GLMs for Ecologists (BGFE01)\n\nMark Andrews is a Senior Lecturer in the Psychology Department at Nottingham Trent University in Nottingham\, England. Mark is a graduate of the National University of Ireland and obtained an MA and PhD from Cornell University in New York. Mark’s research focuses on developing and testing Bayesian models of human cognition\, with particular focus on human language processing and human memory. Mark’s research also focuses on general Bayesian data analysis\, particularly as applied to data from the social and behavioural sciences. Since 2015\, he and his colleague Professor Thom Baguley have been funded by the UK’s ESRC funding body to provide intensive workshops on Bayesian data analysis for researchers in the social sciences. \n 
URL:https://prstats.preprodw.com/course/statistics-for-biodiversity-and-conservation-sfbc01s/
LOCATION:Delivered remotely (United Kingdom)\, Western European Time\, United Kingdom
CATEGORIES:Free Seminars,Home Seminars
ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/02/SFBC01.png
GEO:55.378051;-3.435973
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